Instructions to use ehsanaghaei/SecureBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ehsanaghaei/SecureBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ehsanaghaei/SecureBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ehsanaghaei/SecureBERT") model = AutoModelForMaskedLM.from_pretrained("ehsanaghaei/SecureBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc8e04f68e6f7fc54011fa11153602c0112ae2711d1d779e24f3aa7468b73aa6
- Size of remote file:
- 623 Bytes
- SHA256:
- 92cb179e01a87fd968b0d338755db9bcdf4ac4818abef054ba04d485669d51b2
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